Senior Data Scientist - Risk
Jakarta
Applications have closed
Gojek
Gojek is Southeast Asia’s leading on-demand platform and a pioneer of the multi-service ecosystem model, providing access to a wide range of services including transportation, food delivery, logistics and more.
About the Role
As a data scientist in our Risk Data team, you will create data science models which protect GoPay and its customers. You will have the opportunity to work with rich data to derive new intelligence and use various data science techniques. You will partner with Risk, product and engineering stakeholders to identify and solve some of the most impactful and stimulating business problems in the payments space. You will work in a fast-paced environment with direct impacts to the business.
GoPay Data Science team builds critical ML components/models which go into the engineering systems which make GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and use a wide set of skills (including mathematics, statistics, machine learning, deep learning) to solve some of the toughest business problems in GoPay. We are enthusiastic about data science and its impacts to the business. We believe in growing together as a data community by promoting numerous internal forums for sharing, discussions and presentations.
About Gojek
Gojek is a Super App. It is one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and a dozen other products. We are Indonesia’s first decacorn. We are also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business, and MSMEs.
As of 2018, Gojek processed more than $9 billion in annualized gross transaction value across all markets where it operates - in Singapore, Vietnam, and Indonesia. We have the largest food delivery product in Asia (outside of China) and is the largest payments wallet in Southeast Asia.
Gojek contributed IDR 249 T to the Indonesian economy (equivalent to 2% of Indonesia's GDP in 2020). As of Q1 2021, the Gojek App witnessed over 190mn downloads by customers. The platform has over 2mn Driver Partners & ~900000 Merchant Partners across SEA.
About GoTo Financial
GoTo Financial brings secure, reliable, and user-friendly financial solutions to over 55 million monthly active users, more than 14 million merchants, and over 2.5 million driver-partners eager to benefit from the digital economy in the GoTo ecosystem.
GoTo Financial’s consumer services include GoPay, GoPayLater, and other financial services. We also serve businesses of all sizes through leading payment gateway Midtrans, Indonesia’s largest cloud POS network Moka and GoKasir. We also have the all-in-one merchant solution GoBiz, GoBiz Plus, GoStore, and Selly - available in Indonesia and Southeast Asia.
Gojek and GoTo Financial are committed to building a diverse and inclusive workplace and are equal opportunity employers. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.
As a data scientist in our Risk Data team, you will create data science models which protect GoPay and its customers. You will have the opportunity to work with rich data to derive new intelligence and use various data science techniques. You will partner with Risk, product and engineering stakeholders to identify and solve some of the most impactful and stimulating business problems in the payments space. You will work in a fast-paced environment with direct impacts to the business.
What You Will Do
- Combine technical and business knowledge to develop innovative data science solutions
- Rapidly prototype solutions and be involved in product and feature discussions
- Analyze large volume data and generate insights which will be actionable
- Own end-to-end solutioning, from formulating the technical problem to deployment of the solution as part of a cross-functional team of scientists, analysts, product managers and engineers
- Participate in internal and external conferences and workshops
What You Will Need
- At least 6 years of relevant experience
- Strong quantitative and problem-solving skills
- Solid understanding of Statistics/ML fundamentals and demonstrated experience in Python, R
- Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
- Ability to write clear and concise technical documentation
- Ph.D. or Masters in a quantitative discipline
- Experience in fraud risk, abuse detection, and payments a plus
GoPay Data Science team builds critical ML components/models which go into the engineering systems which make GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and use a wide set of skills (including mathematics, statistics, machine learning, deep learning) to solve some of the toughest business problems in GoPay. We are enthusiastic about data science and its impacts to the business. We believe in growing together as a data community by promoting numerous internal forums for sharing, discussions and presentations.
About Gojek
Gojek is a Super App. It is one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and a dozen other products. We are Indonesia’s first decacorn. We are also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business, and MSMEs.
As of 2018, Gojek processed more than $9 billion in annualized gross transaction value across all markets where it operates - in Singapore, Vietnam, and Indonesia. We have the largest food delivery product in Asia (outside of China) and is the largest payments wallet in Southeast Asia.
Gojek contributed IDR 249 T to the Indonesian economy (equivalent to 2% of Indonesia's GDP in 2020). As of Q1 2021, the Gojek App witnessed over 190mn downloads by customers. The platform has over 2mn Driver Partners & ~900000 Merchant Partners across SEA.
About GoTo Financial
GoTo Financial brings secure, reliable, and user-friendly financial solutions to over 55 million monthly active users, more than 14 million merchants, and over 2.5 million driver-partners eager to benefit from the digital economy in the GoTo ecosystem.
GoTo Financial’s consumer services include GoPay, GoPayLater, and other financial services. We also serve businesses of all sizes through leading payment gateway Midtrans, Indonesia’s largest cloud POS network Moka and GoKasir. We also have the all-in-one merchant solution GoBiz, GoBiz Plus, GoStore, and Selly - available in Indonesia and Southeast Asia.
Gojek and GoTo Financial are committed to building a diverse and inclusive workplace and are equal opportunity employers. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Deep Learning Engineering Fraud risk Machine Learning Mathematics Python R Statistics
Perks/benefits: Conferences Startup environment
Region:
Asia/Pacific
Country:
Indonesia
Job stats:
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Category:
Data Science Jobs
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